MétaCan
Menu
Back to cohort
Record W2913692497 · doi:10.14295/ras.v0i0.29323

MENSURAÇÃO E ESPACIALIZAÇÃO DA CONDUTIVIDADE HIDRÁULICA SATURADA: APLICAÇÃO NO EIXO VIÁRIO SUL DA AVENIDA TEOTÔNIO SEGURADO EM PALMAS/TO

2018· article· pt· W2913692497 on OpenAlexaboutno aff
Pedro da Silva Aguiar Neto, Willian Gomes Batista, Bruno Carrilho De Castro, Clerson Delvani Reis, Guilherme Alves Morais, Flavio Roldão De Carvalho Lelis

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagept
FieldEnvironmental Science
TopicGeography and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Com o crescimento acelerado e desordenado dos centros urbanos, deficiências existentes no planejamento urbano são acentuados. Uma das mais visíveis é a drenagem urbana, pois no adensamento da ocupação humana, aumentasse o nível de impermeabilização. Diferente do método comumente adotado, existe uma alternativa compensatória que trabalha em semelhança ao antigo estado natural pela maximização da retenção e infiltração das águas pluviais. A capital Palmas (TO), sofrendo uma desconfortável situação de drenagem urbana, produziu um Plano Municipal de Saneamento Básico que informa o uso dessas técnicas compensatórias para reduzir ou controlar os excedentes pluviais gerados pela impermeabilização. Todavia ainda não existem trabalhos que caracterizem rigorosamente as propriedades físicas de infiltração, elemento essencial a esses projetos. Limitando como área de caracterização o Canteiro Central Sul da Avenida Teotônio Segurado, utilizou-se Permeâmetro de Guelph e análise geoestatística para determinar o parâmetro de infiltração. O dado trabalho observou que as taxas de infiltração estiveram numa maioria entre 1e-5 e 1e-4 m3/s.m2.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.187
GPT teacher head0.487
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicGeography and Environmental StudiesFrench-language works237,207